code: def register_feature_fun(self, name, feature_fun):
      self.feature_dict[name] = create_augment_fun(feature_fun, name)
  
imports: import logging
  import networkx
  import numpy
  import torch
  import torch.nn
  from deepsnap.graph import Graph
  import graphgym.register
  from graphgym.config import cfg
  from graphgym.contrib.transform.identity import compute_identity
label_desc: Use image node_id 2 for calling the FeatureAugment obj's underlying member method code with example usage: obj.register_feature_fun(name, feature_fun) without return types